摘要
基于统计的系统聚类分析是一种重要的数据挖掘算法。研究了一种多重系统聚类模型及其算法实现,把变量聚类和样本聚类相结合,并使用了两种方法赋值样本数据阵,使聚类结果更加直观。
System clustering analysis based on statistics is one of the most important mining algorithms. In this paper, we propose a model of multilevel system clustering and its algorithm achieve, which integrates Q-clustering with R-clustering, And then in this algorithm, using two methods to express sample data. Making the result of clustering been more directly.
出处
《电脑编程技巧与维护》
2013年第8期28-30,共3页
Computer Programming Skills & Maintenance
